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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. However, the abundance of data opens numerous possibilities for research and analysis.

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ELT Explained: What You Need to Know

Ascend.io

Benefits of ELT Compared to ETL, the adoption of ELT in data management strategies offers a host of advantages: Increased Efficiency and Speed: By loading data directly into the warehouse before transforming it, ELT minimizes the time lag between data collection and availability for analysis.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

Netflix Tech

In the push model paradigm, various platform tools such as the data transportation layer, reporting tools, and Presto will publish lineage events to a set of lineage related Kafka topics, therefore, making data ingestion relatively easy to scale improving scalability for the data lineage system.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

It’s represented in terms of batch reporting, near real-time/real-time processing, and data streaming. The best-case scenario is when the speed with which the data is produced meets the speed with which it is processed. Let’s take the transportation industry for example. Big Data analytics processes and tools.